Upload folder using huggingface_hub

README.md

@@ -0,0 +1,202 @@
+---
+base_model: microsoft/Phi-3.5-mini-instruct
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.12.0

adapter_config.json

@@ -0,0 +1,29 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "microsoft/Phi-3.5-mini-instruct",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 128,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "qkv_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:113e24c1c9fe888f9bb07d31e857cd68928626b5b72b0e193982c401868eaf8a
+size 695383552

checkpoint-4000/README.md

@@ -0,0 +1,202 @@
+---
+base_model: microsoft/Phi-3.5-mini-instruct
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.12.0

checkpoint-4000/adapter_config.json

@@ -0,0 +1,29 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "microsoft/Phi-3.5-mini-instruct",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 128,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "qkv_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

checkpoint-4000/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:656a244fada9faaa05c100788db3bd7e390fe1268338279478268d4d28baaf3d
+size 695383552

checkpoint-4000/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb142d490945b791f736f9d81d5f98f47079052a608516aec23b0092f5eeaa33
+size 604089722

checkpoint-4000/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7a4a60802db5b115c5b9667d639f2b6d1e6797416d9d99d747f5aab1387c0946
+size 14244

checkpoint-4000/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:40f3eeed8a138596a10bba9a5359fd191fe65e6399b799274ee3e65780e61823
+size 1064

checkpoint-4000/special_tokens_map.json

@@ -0,0 +1,28 @@
+{
+  "additional_special_tokens": [
+    {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    }
+  ],
+  "bos_token": "<|im_start|>",
+  "eos_token": "<|im_end|>",
+  "pad_token": "<|im_end|>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-4000/tokenizer_config.json

@@ -0,0 +1,151 @@
+{
+  "add_bos_token": false,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": false
+    },
+    "32000": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32001": {
+      "content": "<|assistant|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32002": {
+      "content": "<|placeholder1|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32003": {
+      "content": "<|placeholder2|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32004": {
+      "content": "<|placeholder3|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32005": {
+      "content": "<|placeholder4|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32006": {
+      "content": "<|system|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32007": {
+      "content": "<|end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32008": {
+      "content": "<|placeholder5|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32009": {
+      "content": "<|placeholder6|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32010": {
+      "content": "<|user|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32011": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32012": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "bos_token": "<|im_start|>",
+  "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "legacy": false,
+  "model_max_length": 131072,
+  "pad_token": "<|im_end|>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

checkpoint-4000/trainer_state.json

@@ -0,0 +1,313 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.899601304820587,
+  "eval_steps": 500,
+  "global_step": 4000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.07249003262051468,
+      "grad_norm": 0.06301224231719971,
+      "learning_rate": 0.00019992615059139993,
+      "loss": 0.7675,
+      "step": 100
+    },
+    {
+      "epoch": 0.14498006524102935,
+      "grad_norm": 0.10580525547266006,
+      "learning_rate": 0.0001993360096097155,
+      "loss": 0.5641,
+      "step": 200
+    },
+    {
+      "epoch": 0.21747009786154403,
+      "grad_norm": 0.07278159260749817,
+      "learning_rate": 0.00019815921288395655,
+      "loss": 0.5124,
+      "step": 300
+    },
+    {
+      "epoch": 0.2899601304820587,
+      "grad_norm": 0.07537836581468582,
+      "learning_rate": 0.00019640271030632727,
+      "loss": 0.4841,
+      "step": 400
+    },
+    {
+      "epoch": 0.3624501631025734,
+      "grad_norm": 0.09485650062561035,
+      "learning_rate": 0.00019407687537915269,
+      "loss": 0.4602,
+      "step": 500
+    },
+    {
+      "epoch": 0.43494019572308806,
+      "grad_norm": 0.07589354366064072,
+      "learning_rate": 0.0001911954439513476,
+      "loss": 0.4577,
+      "step": 600
+    },
+    {
+      "epoch": 0.5074302283436027,
+      "grad_norm": 0.0784345343708992,
+      "learning_rate": 0.00018777543309763566,
+      "loss": 0.4435,
+      "step": 700
+    },
+    {
+      "epoch": 0.5799202609641174,
+      "grad_norm": 0.13163290917873383,
+      "learning_rate": 0.00018383704061959965,
+      "loss": 0.4362,
+      "step": 800
+    },
+    {
+      "epoch": 0.6524102935846321,
+      "grad_norm": 0.10098472982645035,
+      "learning_rate": 0.00017940352576208688,
+      "loss": 0.4244,
+      "step": 900
+    },
+    {
+      "epoch": 0.7249003262051468,
+      "grad_norm": 0.08392923325300217,
+      "learning_rate": 0.00017450107184943073,
+      "loss": 0.4194,
+      "step": 1000
+    },
+    {
+      "epoch": 0.7973903588256614,
+      "grad_norm": 0.08855585008859634,
+      "learning_rate": 0.00016915863165272818,
+      "loss": 0.401,
+      "step": 1100
+    },
+    {
+      "epoch": 0.8698803914461761,
+      "grad_norm": 0.07977194339036942,
+      "learning_rate": 0.00016340775640139835,
+      "loss": 0.401,
+      "step": 1200
+    },
+    {
+      "epoch": 0.9423704240666908,
+      "grad_norm": 0.049693815410137177,
+      "learning_rate": 0.00015728240944884046,
+      "loss": 0.3995,
+      "step": 1300
+    },
+    {
+      "epoch": 1.0148604566872055,
+      "grad_norm": 0.05138128623366356,
+      "learning_rate": 0.00015081876569263987,
+      "loss": 0.3858,
+      "step": 1400
+    },
+    {
+      "epoch": 1.0873504893077202,
+      "grad_norm": 0.09676031768321991,
+      "learning_rate": 0.00014405499793389992,
+      "loss": 0.3771,
+      "step": 1500
+    },
+    {
+      "epoch": 1.1598405219282348,
+      "grad_norm": 0.08200570940971375,
+      "learning_rate": 0.0001370310514374126,
+      "loss": 0.3714,
+      "step": 1600
+    },
+    {
+      "epoch": 1.2323305545487495,
+      "grad_norm": 0.0593099370598793,
+      "learning_rate": 0.00012978840802406474,
+      "loss": 0.3689,
+      "step": 1700
+    },
+    {
+      "epoch": 1.3048205871692642,
+      "grad_norm": 0.07377779483795166,
+      "learning_rate": 0.0001223698410886949,
+      "loss": 0.3683,
+      "step": 1800
+    },
+    {
+      "epoch": 1.3773106197897789,
+      "grad_norm": 0.07046964764595032,
+      "learning_rate": 0.00011481916299021028,
+      "loss": 0.3655,
+      "step": 1900
+    },
+    {
+      "epoch": 1.4498006524102935,
+      "grad_norm": 0.054052457213401794,
+      "learning_rate": 0.00010718096630581976,
+      "loss": 0.3662,
+      "step": 2000
+    },
+    {
+      "epoch": 1.5222906850308082,
+      "grad_norm": 0.05863339453935623,
+      "learning_rate": 9.950036047747562e-05,
+      "loss": 0.3631,
+      "step": 2100
+    },
+    {
+      "epoch": 1.594780717651323,
+      "grad_norm": 0.07018906623125076,
+      "learning_rate": 9.182270540583096e-05,
+      "loss": 0.3625,
+      "step": 2200
+    },
+    {
+      "epoch": 1.6672707502718376,
+      "grad_norm": 0.07417762279510498,
+      "learning_rate": 8.419334356504496e-05,
+      "loss": 0.362,
+      "step": 2300
+    },
+    {
+      "epoch": 1.7397607828923523,
+      "grad_norm": 0.06391692906618118,
+      "learning_rate": 7.665733222050506e-05,
+      "loss": 0.3621,
+      "step": 2400
+    },
+    {
+      "epoch": 1.812250815512867,
+      "grad_norm": 0.05379035323858261,
+      "learning_rate": 6.925917733092715e-05,
+      "loss": 0.3549,
+      "step": 2500
+    },
+    {
+      "epoch": 1.8847408481333816,
+      "grad_norm": 0.06350132077932358,
+      "learning_rate": 6.204257070634643e-05,
+      "loss": 0.3564,
+      "step": 2600
+    },
+    {
+      "epoch": 1.9572308807538963,
+      "grad_norm": 0.07076149433851242,
+      "learning_rate": 5.5050131974284314e-05,
+      "loss": 0.3543,
+      "step": 2700
+    },
+    {
+      "epoch": 2.029720913374411,
+      "grad_norm": 0.07655489444732666,
+      "learning_rate": 4.832315687798013e-05,
+      "loss": 0.3538,
+      "step": 2800
+    },
+    {
+      "epoch": 2.102210945994926,
+      "grad_norm": 0.0633474811911583,
+      "learning_rate": 4.190137339317991e-05,
+      "loss": 0.345,
+      "step": 2900
+    },
+    {
+      "epoch": 2.1747009786154403,
+      "grad_norm": 0.05732415243983269,
+      "learning_rate": 3.5822707103802e-05,
+      "loss": 0.3409,
+      "step": 3000
+    },
+    {
+      "epoch": 2.247191011235955,
+      "grad_norm": 0.059786632657051086,
+      "learning_rate": 3.0123057222115836e-05,
+      "loss": 0.3481,
+      "step": 3100
+    },
+    {
+      "epoch": 2.3196810438564697,
+      "grad_norm": 0.06117291748523712,
+      "learning_rate": 2.483608457620823e-05,
+      "loss": 0.3483,
+      "step": 3200
+    },
+    {
+      "epoch": 2.3921710764769846,
+      "grad_norm": 0.06071442365646362,
+      "learning_rate": 1.99930128168345e-05,
+      "loss": 0.342,
+      "step": 3300
+    },
+    {
+      "epoch": 2.464661109097499,
+      "grad_norm": 0.05658793821930885,
+      "learning_rate": 1.562244401768144e-05,
+      "loss": 0.3386,
+      "step": 3400
+    },
+    {
+      "epoch": 2.537151141718014,
+      "grad_norm": 0.0743192508816719,
+      "learning_rate": 1.1750189758064211e-05,
+      "loss": 0.3465,
+      "step": 3500
+    },
+    {
+      "epoch": 2.6096411743385284,
+      "grad_norm": 0.05902181193232536,
+      "learning_rate": 8.399118685644858e-06,
+      "loss": 0.3501,
+      "step": 3600
+    },
+    {
+      "epoch": 2.6821312069590433,
+      "grad_norm": 0.07102780789136887,
+      "learning_rate": 5.589021459431787e-06,
+      "loss": 0.3427,
+      "step": 3700
+    },
+    {
+      "epoch": 2.7546212395795577,
+      "grad_norm": 0.05868164449930191,
+      "learning_rate": 3.3364938706757275e-06,
+      "loss": 0.3486,
+      "step": 3800
+    },
+    {
+      "epoch": 2.8271112722000726,
+      "grad_norm": 0.06294699013233185,
+      "learning_rate": 1.6548388319239105e-06,
+      "loss": 0.3454,
+      "step": 3900
+    },
+    {
+      "epoch": 2.899601304820587,
+      "grad_norm": 0.06135398522019386,
+      "learning_rate": 5.539878130623732e-07,
+      "loss": 0.3456,
+      "step": 4000
+    }
+  ],
+  "logging_steps": 100,
+  "max_steps": 4137,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 1000,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.493402810056704e+18,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-4000/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:623090067bdb73355bb54296584a4fd3e6d09ffee9b70a8d49df4ab60f315d7a
+size 5496

checkpoint-4137/README.md

@@ -0,0 +1,202 @@
+---
+base_model: microsoft/Phi-3.5-mini-instruct
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.12.0

checkpoint-4137/adapter_config.json

@@ -0,0 +1,29 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "microsoft/Phi-3.5-mini-instruct",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 128,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "qkv_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

checkpoint-4137/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:113e24c1c9fe888f9bb07d31e857cd68928626b5b72b0e193982c401868eaf8a
+size 695383552

checkpoint-4137/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3d96c865086dec5bc3349f452866603ff08f718ec4dfc51b2c89aef1c2e01ecc
+size 604089722

checkpoint-4137/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ca5fcb68aaaaad4a91da8870ea25e4ce898628b5f60da5ccccdac57659d19abf
+size 14244

checkpoint-4137/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:928f4c7dab1e2979dcaff2d93c2967aee2e2597b92a74f904443acd8d86ed579
+size 1064

checkpoint-4137/special_tokens_map.json

@@ -0,0 +1,28 @@
+{
+  "additional_special_tokens": [
+    {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    }
+  ],
+  "bos_token": "<|im_start|>",
+  "eos_token": "<|im_end|>",
+  "pad_token": "<|im_end|>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-4137/tokenizer_config.json

@@ -0,0 +1,151 @@
+{
+  "add_bos_token": false,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": false
+    },
+    "32000": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32001": {
+      "content": "<|assistant|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32002": {
+      "content": "<|placeholder1|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32003": {
+      "content": "<|placeholder2|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32004": {
+      "content": "<|placeholder3|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32005": {
+      "content": "<|placeholder4|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32006": {
+      "content": "<|system|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32007": {
+      "content": "<|end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32008": {
+      "content": "<|placeholder5|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32009": {
+      "content": "<|placeholder6|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32010": {
+      "content": "<|user|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32011": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32012": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "bos_token": "<|im_start|>",
+  "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "legacy": false,
+  "model_max_length": 131072,
+  "pad_token": "<|im_end|>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

checkpoint-4137/trainer_state.json

@@ -0,0 +1,320 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.998912649510692,
+  "eval_steps": 500,
+  "global_step": 4137,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.07249003262051468,
+      "grad_norm": 0.06301224231719971,
+      "learning_rate": 0.00019992615059139993,
+      "loss": 0.7675,
+      "step": 100
+    },
+    {
+      "epoch": 0.14498006524102935,
+      "grad_norm": 0.10580525547266006,
+      "learning_rate": 0.0001993360096097155,
+      "loss": 0.5641,
+      "step": 200
+    },
+    {
+      "epoch": 0.21747009786154403,
+      "grad_norm": 0.07278159260749817,
+      "learning_rate": 0.00019815921288395655,
+      "loss": 0.5124,
+      "step": 300
+    },
+    {
+      "epoch": 0.2899601304820587,
+      "grad_norm": 0.07537836581468582,
+      "learning_rate": 0.00019640271030632727,
+      "loss": 0.4841,
+      "step": 400
+    },
+    {
+      "epoch": 0.3624501631025734,
+      "grad_norm": 0.09485650062561035,
+      "learning_rate": 0.00019407687537915269,
+      "loss": 0.4602,
+      "step": 500
+    },
+    {
+      "epoch": 0.43494019572308806,
+      "grad_norm": 0.07589354366064072,
+      "learning_rate": 0.0001911954439513476,
+      "loss": 0.4577,
+      "step": 600
+    },
+    {
+      "epoch": 0.5074302283436027,
+      "grad_norm": 0.0784345343708992,
+      "learning_rate": 0.00018777543309763566,
+      "loss": 0.4435,
+      "step": 700
+    },
+    {
+      "epoch": 0.5799202609641174,
+      "grad_norm": 0.13163290917873383,
+      "learning_rate": 0.00018383704061959965,
+      "loss": 0.4362,
+      "step": 800
+    },
+    {
+      "epoch": 0.6524102935846321,
+      "grad_norm": 0.10098472982645035,
+      "learning_rate": 0.00017940352576208688,
+      "loss": 0.4244,
+      "step": 900
+    },
+    {
+      "epoch": 0.7249003262051468,
+      "grad_norm": 0.08392923325300217,
+      "learning_rate": 0.00017450107184943073,
+      "loss": 0.4194,
+      "step": 1000
+    },
+    {
+      "epoch": 0.7973903588256614,
+      "grad_norm": 0.08855585008859634,
+      "learning_rate": 0.00016915863165272818,
+      "loss": 0.401,
+      "step": 1100
+    },
+    {
+      "epoch": 0.8698803914461761,
+      "grad_norm": 0.07977194339036942,
+      "learning_rate": 0.00016340775640139835,
+      "loss": 0.401,
+      "step": 1200
+    },
+    {
+      "epoch": 0.9423704240666908,
+      "grad_norm": 0.049693815410137177,
+      "learning_rate": 0.00015728240944884046,
+      "loss": 0.3995,
+      "step": 1300
+    },
+    {
+      "epoch": 1.0148604566872055,
+      "grad_norm": 0.05138128623366356,
+      "learning_rate": 0.00015081876569263987,
+      "loss": 0.3858,
+      "step": 1400
+    },
+    {
+      "epoch": 1.0873504893077202,
+      "grad_norm": 0.09676031768321991,
+      "learning_rate": 0.00014405499793389992,
+      "loss": 0.3771,
+      "step": 1500
+    },
+    {
+      "epoch": 1.1598405219282348,
+      "grad_norm": 0.08200570940971375,
+      "learning_rate": 0.0001370310514374126,
+      "loss": 0.3714,
+      "step": 1600
+    },
+    {
+      "epoch": 1.2323305545487495,
+      "grad_norm": 0.0593099370598793,
+      "learning_rate": 0.00012978840802406474,
+      "loss": 0.3689,
+      "step": 1700
+    },
+    {
+      "epoch": 1.3048205871692642,
+      "grad_norm": 0.07377779483795166,
+      "learning_rate": 0.0001223698410886949,
+      "loss": 0.3683,
+      "step": 1800
+    },
+    {
+      "epoch": 1.3773106197897789,
+      "grad_norm": 0.07046964764595032,
+      "learning_rate": 0.00011481916299021028,
+      "loss": 0.3655,
+      "step": 1900
+    },
+    {
+      "epoch": 1.4498006524102935,
+      "grad_norm": 0.054052457213401794,
+      "learning_rate": 0.00010718096630581976,
+      "loss": 0.3662,
+      "step": 2000
+    },
+    {
+      "epoch": 1.5222906850308082,
+      "grad_norm": 0.05863339453935623,
+      "learning_rate": 9.950036047747562e-05,
+      "loss": 0.3631,
+      "step": 2100
+    },
+    {
+      "epoch": 1.594780717651323,
+      "grad_norm": 0.07018906623125076,
+      "learning_rate": 9.182270540583096e-05,
+      "loss": 0.3625,
+      "step": 2200
+    },
+    {
+      "epoch": 1.6672707502718376,
+      "grad_norm": 0.07417762279510498,
+      "learning_rate": 8.419334356504496e-05,
+      "loss": 0.362,
+      "step": 2300
+    },
+    {
+      "epoch": 1.7397607828923523,
+      "grad_norm": 0.06391692906618118,
+      "learning_rate": 7.665733222050506e-05,
+      "loss": 0.3621,
+      "step": 2400
+    },
+    {
+      "epoch": 1.812250815512867,
+      "grad_norm": 0.05379035323858261,
+      "learning_rate": 6.925917733092715e-05,
+      "loss": 0.3549,
+      "step": 2500
+    },
+    {
+      "epoch": 1.8847408481333816,
+      "grad_norm": 0.06350132077932358,
+      "learning_rate": 6.204257070634643e-05,
+      "loss": 0.3564,
+      "step": 2600
+    },
+    {
+      "epoch": 1.9572308807538963,
+      "grad_norm": 0.07076149433851242,
+      "learning_rate": 5.5050131974284314e-05,
+      "loss": 0.3543,
+      "step": 2700
+    },
+    {
+      "epoch": 2.029720913374411,
+      "grad_norm": 0.07655489444732666,
+      "learning_rate": 4.832315687798013e-05,
+      "loss": 0.3538,
+      "step": 2800
+    },
+    {
+      "epoch": 2.102210945994926,
+      "grad_norm": 0.0633474811911583,
+      "learning_rate": 4.190137339317991e-05,
+      "loss": 0.345,
+      "step": 2900
+    },
+    {
+      "epoch": 2.1747009786154403,
+      "grad_norm": 0.05732415243983269,
+      "learning_rate": 3.5822707103802e-05,
+      "loss": 0.3409,
+      "step": 3000
+    },
+    {
+      "epoch": 2.247191011235955,
+      "grad_norm": 0.059786632657051086,
+      "learning_rate": 3.0123057222115836e-05,
+      "loss": 0.3481,
+      "step": 3100
+    },
+    {
+      "epoch": 2.3196810438564697,
+      "grad_norm": 0.06117291748523712,
+      "learning_rate": 2.483608457620823e-05,
+      "loss": 0.3483,
+      "step": 3200
+    },
+    {
+      "epoch": 2.3921710764769846,
+      "grad_norm": 0.06071442365646362,
+      "learning_rate": 1.99930128168345e-05,
+      "loss": 0.342,
+      "step": 3300
+    },
+    {
+      "epoch": 2.464661109097499,
+      "grad_norm": 0.05658793821930885,
+      "learning_rate": 1.562244401768144e-05,
+      "loss": 0.3386,
+      "step": 3400
+    },
+    {
+      "epoch": 2.537151141718014,
+      "grad_norm": 0.0743192508816719,
+      "learning_rate": 1.1750189758064211e-05,
+      "loss": 0.3465,
+      "step": 3500
+    },
+    {
+      "epoch": 2.6096411743385284,
+      "grad_norm": 0.05902181193232536,
+      "learning_rate": 8.399118685644858e-06,
+      "loss": 0.3501,
+      "step": 3600
+    },
+    {
+      "epoch": 2.6821312069590433,
+      "grad_norm": 0.07102780789136887,
+      "learning_rate": 5.589021459431787e-06,
+      "loss": 0.3427,
+      "step": 3700
+    },
+    {
+      "epoch": 2.7546212395795577,
+      "grad_norm": 0.05868164449930191,
+      "learning_rate": 3.3364938706757275e-06,
+      "loss": 0.3486,
+      "step": 3800
+    },
+    {
+      "epoch": 2.8271112722000726,
+      "grad_norm": 0.06294699013233185,
+      "learning_rate": 1.6548388319239105e-06,
+      "loss": 0.3454,
+      "step": 3900
+    },
+    {
+      "epoch": 2.899601304820587,
+      "grad_norm": 0.06135398522019386,
+      "learning_rate": 5.539878130623732e-07,
+      "loss": 0.3456,
+      "step": 4000
+    },
+    {
+      "epoch": 2.972091337441102,
+      "grad_norm": 0.06379140913486481,
+      "learning_rate": 4.0442188327105555e-08,
+      "loss": 0.3436,
+      "step": 4100
+    }
+  ],
+  "logging_steps": 100,
+  "max_steps": 4137,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 1000,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.544551856301146e+18,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-4137/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:623090067bdb73355bb54296584a4fd3e6d09ffee9b70a8d49df4ab60f315d7a
+size 5496

logPhi-3.5-mini_3.5Bqloranewdataset/events.out.tfevents.1734960808.DESKTOP-B4HH1FK.19440.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:57b555269f3aae506acf5a10f5987c996670e49162f5bf2feba0963c32fa015a
+size 8707

logPhi-3.5-mini_3.5Bqloranewdataset/events.out.tfevents.1734961259.DESKTOP-B4HH1FK.14236.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6f81876d6b2b1ae60e96d5807ce5a6987a9cdf4e2f777107fc40b933e50801a5
+size 17708

special_tokens_map.json

@@ -0,0 +1,28 @@
+{
+  "additional_special_tokens": [
+    {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    }
+  ],
+  "bos_token": "<|im_start|>",
+  "eos_token": "<|im_end|>",
+  "pad_token": "<|im_end|>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,151 @@
+{
+  "add_bos_token": false,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": false
+    },
+    "32000": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32001": {
+      "content": "<|assistant|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32002": {
+      "content": "<|placeholder1|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32003": {
+      "content": "<|placeholder2|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32004": {
+      "content": "<|placeholder3|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32005": {
+      "content": "<|placeholder4|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32006": {
+      "content": "<|system|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32007": {
+      "content": "<|end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32008": {
+      "content": "<|placeholder5|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32009": {
+      "content": "<|placeholder6|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32010": {
+      "content": "<|user|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32011": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32012": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "bos_token": "<|im_start|>",
+  "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "legacy": false,
+  "model_max_length": 131072,
+  "pad_token": "<|im_end|>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:623090067bdb73355bb54296584a4fd3e6d09ffee9b70a8d49df4ab60f315d7a
+size 5496